Dan-Ships
رفتن به کانال در Telegram
Here Daniel, Software Developer Writing code. Breaking code. Fixing code. Occasionally fixing myself too. 😂 This channel is basically my developer life in production — bugs included.
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246
مشترکین
اطلاعاتی وجود ندارد24 ساعت
اطلاعاتی وجود ندارد7 روز
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آرشیو پست ها
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"ዱርየ" የሚለውን ማዕረግ like እንደ "ሎሬት" ቆጥሮ በኩራት አፉን አጣሞ የሚያወራ generation ተፈጥሯል! 😂
Smoking cigarettes እና ጭስ በገመድ መሳብ, or ቅጠል መበጠስ is not nuclear physics bro😁 it's literally just basic self-destruction packaged as "gangster aesthetics."
ገራሚው ነገር፤ ትክክለኛውን Hard work እና real knowledgeን ትቶ፣ እነዚህን tivial and basic bad habits እንደ "cool lifestyle" ማየት ፍጹም የmindset ኪሳራ ነው። ማዕረጉም አያኮራም🤙
From SM
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Graphify — an open-source tool that transforms your codebase into a queryable knowledge graph. It maps relationships between files, functions, classes, modules, and dependencies, helping AI coding assistants understand how different parts of your application connect instead of repeatedly scanning files.
📦 Installation
Navigate to your project directory and install it:
npm install @dreamtree-org/graphifynpx graphify .That's it! Graphify analyzes your project and generates:
graph.html – Interactive visualization of your codebase.
GRAPH_REPORT.md – Overview of your project's architecture and important connections.
graph.json – Machine-readable knowledge graph.
You can then ask your AI assistant questions about your architecture, dependencies, function relationships, and more.
@danships246
Graphify — an open-source tool that transforms your codebase into a queryable knowledge graph. It maps relationships between files, functions, classes, modules, and dependencies, helping AI coding assistants understand how different parts of your application connect instead of repeatedly scanning files.
📦 Installation
Navigate to your project directory and install it:
npm install @dreamtree-org/graphifynpx graphify .That's it! Graphify analyzes your project and generates:
graph.html – Interactive visualization of your codebase.
GRAPH_REPORT.md – Overview of your project's architecture and important connections.
graph.json – Machine-readable knowledge graph.
You can then ask your AI assistant questions about your architecture, dependencies, function relationships, and more.246
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